beit
There are 16 repositories under beit topic.
microsoft/unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
open-mmlab/mmpretrain
OpenMMLab Pre-training Toolbox and Benchmark
open-mmlab/mmselfsup
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
PaddlePaddle/PASSL
PASSL包含 SimCLR，MoCo v1/v2，BYOL，CLIP，PixPro，simsiam, SwAV, BEiT，MAE 等图像自监督算法以及 Vision Transformer，DEiT，Swin Transformer，CvT，T2T-ViT，MLP-Mixer，XCiT，ConvNeXt，PVTv2 等基础视觉算法
arxyzan/data2vec-pytorch
PyTorch implementation of "data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language" from Meta AI
pavanpatil45/BE-Final-Year-Project
BE IT Final Year Machine Learning Project
JanTeichertKluge/DMLSim
This library provides packages on DoubleML / Causal Machine Learning and Neural Networks in Python for Simulation and Case Studies.
ma-xu/awesome-vision-transformers-comparison
A detailed comparsion of Recent Vision Transformers on ImageNet1k
MohammadRoodbari/Image-Classification
image classification with fine tuning the BEiT vision transformer on CIFAR 10 dataset
AsianZeus/FaceMask-Classification-Models
This repository holds the downstream task of Face Mask Classification performed on Self Currated Custom Dataset with various State of the Art deep learning models like ViT, BeIT, DeIT, LeViT, ConvNeXt, VGG16, EfficientNetV2, RegNet and MobileNetV3.
jianzhnie/self_supervised
self-supervised learning
woctezuma/steam-BEiT
Retrieve Steam games with similar store banners, with Microsoft's Bidirectional Encoder representation from Image Transformers (BEiT).
Abletobetable/smart-product
Predict category of product by it's description, image and other attributes
BastiDood/pal.ai
pal.ai is a progressive web app that uses images of rice leaves to identify rice leaf diseases.
YuukioFuyu/BEiT-Classification
Simple Deep Learning model for training image classifiers using the BEiT method
jiaowoguanren0615/Agent-Attention-Models
This is a warehouse for Agent-Attention-Models based on pytorch framework, can be used to train your image datasets.